Neuron Explorer

Qwen3-0.6B

opening quote after a modal verb

A neuron in layer 13 of Qwen3-0.6B. Its strongest snippets are very consistent: they mostly peak on the same token. It is featured, so it has steering outputs.

What this neuron does

This neuron lights up on an opening quotation mark that comes right after words like "can", "could" or "may", where a word or phrase is being put in quotes for effect. When it was turned up, the model's writing drifted into rambling and unrelated topics, so the quote pattern is the only clear link.

Written by Claude from this neuron's activations and steering outputs. Confidence: medium. Think it is wrong? Flag it (opens a prefilled issue on GitHub).

Fires most on

The text windows where this neuron's activation was highest. Amber marks positive activation; the outlined token is the peak. Hover a token for its strength.

  1. #1 peak

    Their study, which is published in the journal Proceedings of the National Academy of Sciences (PNAS), is the first to identify a non-primate species as having “orthographic” abilities.⏎In the experiment, pigeons were trained to peck

  2. #2 peak

    .⏎The combined effect was that Myotragus was sluggish, with slow reaction times, the bone study suggests.⏎Like modern-day reptiles, the goats probably “saved as much energy as possible just lying around and basking in the sun,”

  3. #3 peak

    to 100⏎tspan=[t0 tend]; %need to use it in this form in MATLAB 5.⏎[t,y]=ode45('rhs',tspan,y0)%call the routine ode45⏎plot(t

  4. #4 peak

    BUQUERQUE, NM – A team of researchers from Sandia, Lawrence Berkeley and Pacific Northwest National Laboratories tested a “sponge-like” mineral that can “absorb” uranium at a former uranium

  5. #5 peak

    Health Checklist⏎Being a college student warrants a quick health check in order for you to remain healthy all school year. By following a few simple strategies, you can “rock on” in school, work and your social life.⏎Get involved in regular

  6. #6 peak

    landing, as well as what it is like to do a spacewalk<|endoftext|>Global warming “can be reversed", scientists claim⏎Hi-tech new bio-energy plants could “reverse” global warming by pumping carbon dioxide into old gas wells - lowering temperatures by

Steering

Push this neuron up or down while the model writes, and watch what changes. The outputs were generated ahead of time, so nothing runs in your browser.

turned down a lot
Prompt

Here is something I have been thinking about lately: " ' ' " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " "

Most negative on

Where the activation went furthest below zero. Blue marks negative activation. Many neurons mean something different in each direction.

  1. #1 peak

    ', 'pomegranite', 'bananana', 'grape', 'loganberry'] print "You are an" , random.choice (verb) , random.choice (fruit)⏎Any Tutorial Videos?<|endoftext|>What is globalisation?⏎Global

  2. #2 peak

    Social Cognition in Non-human Primates Using a Network of Computerized Automated Learning Device (ALDM) Test Systems⏎Institutions: Aix-Marseille University.⏎Fag

  3. #3 peak

    that will give a useful input to those interested in Artificial Intelligence in education.⏎|Subjects:||L Education > L Education (General)|⏎|Deposited By:||Zaidatun Tasir|⏎|Deposited On:||

  4. #4 peak

    structure = function.⏎(Image from: https://commons.wikimedia.org/w/index.php?cur

Connections

Show on map

Which neurons in earlier layers feed this one, and which later ones it feeds. Amber links excite, blue links suppress; longer bars are stronger.

Fed by earlier layers

  1. L8:257 suppresses
  2. L5:2501 weakly excites
  3. L11:769 weakly excites
  4. L3:500 weakly suppresses
  5. L0:2845 weakly excites
  6. L11:226 weakly suppresses
  7. L9:49 weakly suppresses
  8. L1:100 weakly excites
  9. L3:2558 weakly excites
  10. L0:2355 weakly suppresses
  11. L12:80 weakly suppresses
  12. L8:543 weakly excites "Since" starting a reason clause
  13. L2:2634 weakly suppresses
  14. L9:2728 weakly excites
  15. L4:1 weakly excites
  16. L7:770 weakly excites
  17. L12:1513 weakly excites
  18. L4:919 weakly excites
  19. L12:3039 weakly excites
  20. L12:549 weakly suppresses
  21. L1:1907 weakly suppresses
  22. L6:2173 weakly excites
  23. L8:423 weakly excites
  24. L11:2160 weakly suppresses

Feeds later layers

  1. L17:893 excites
  2. L17:811 suppresses
  3. L14:1111 excites
  4. L14:313 suppresses
  5. L18:2897 excites
  6. L16:2206 suppresses
  7. L17:2616 excites
  8. L15:1515 suppresses
  9. L18:1945 excites
  10. L18:156 excites
  11. L20:872 excites
  12. L18:2179 excites
  13. L19:1616 excites
  14. L18:2361 excites
  15. L24:286 suppresses
  16. L20:1677 excites
  17. L18:606 excites
  18. L15:1381 excites
  19. L16:2067 weakly excites
  20. L14:1530 weakly excites
  21. L16:211 weakly suppresses
  22. L19:1409 weakly suppresses
  23. L16:1633 weakly excites
  24. L16:354 weakly suppresses

Activation histogram

How often this neuron fires at each strength. Almost always it does close to nothing (the tall bars in the middle); the snippets above are the rare moments it fired hard, amber for positive and blue for negative.

7 values between -0.57 and -0.4623 values between -0.46 and -0.3583 values between -0.35 and -0.24412 values between -0.24 and -0.13944 values between -0.13 and -0.021369 values between -0.02 and 0.09765 values between 0.09 and 0.20251 values between 0.20 and 0.3133 values between 0.31 and 0.426 values between 0.42 and 0.531 values between 0.53 and 0.641 values between 0.64 and 0.752 values between 0.75 and 0.861 values between 0.97 and 1.081 values between 1.41 and 1.521 values between 1.52 and 1.631 values between 1.74 and 1.851 values between 2.07 and 2.181 values between 2.40 and 2.511 values between 2.84 and 2.952 values between 3.17 and 3.281 values between 3.61 and 3.721 values between 3.72 and 3.83offnegativepositiveoften

Logit lens

The words this neuron nudges the model toward (amber) or away from (blue) when it fires. A hint, not a label: many neurons work through later layers instead.

Promotes

  1. preter
  2. ame
  3. odor
  4. imedia
  5. дачи
  6. бел
  7. enger
  8. apore
  9. 埗
  10. continuous

Suppresses

  1. !
  2. accord
  3. lav
  4. !⏎⏎
  5. Accord
  6. !)⏎⏎
  7. !)
  8. !⏎⏎
  9. function
  10. 犰